Using a 2.5D boundary element model to predict the sound distribution on train external surfaces due to rolling noise

[EN] In order to be able to predict train interior noise, it is first important to calculate the external sound pressure distribution on the floor, sidewalls and roof. This can then be combined with the transmission loss of the train panels to determine the interior noise. Traditional techniques suc...

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Autores: Li, Hui, Thompson, David, Squicciarini, Giacomo, Liu, Xiaowan, Rissmann, Martin, F. D. Denia|||0000-0003-4536-8610, Giner Navarro, Juan|||0000-0002-0513-3625
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Ajuntament de Barcelona
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/176280
Acceso en línea:https://riunet.upv.es/handle/10251/176280
Access Level:acceso abierto
Palabra clave:2.5D method
Boundary element model
Train external surfaces
Rolling noise
INGENIERIA MECANICA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
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oai_identifier_str oai:riunet.upv.es:10251/176280
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Using a 2.5D boundary element model to predict the sound distribution on train external surfaces due to rolling noise
title Using a 2.5D boundary element model to predict the sound distribution on train external surfaces due to rolling noise
spellingShingle Using a 2.5D boundary element model to predict the sound distribution on train external surfaces due to rolling noise
Li, Hui
2.5D method
Boundary element model
Train external surfaces
Rolling noise
INGENIERIA MECANICA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
title_short Using a 2.5D boundary element model to predict the sound distribution on train external surfaces due to rolling noise
title_full Using a 2.5D boundary element model to predict the sound distribution on train external surfaces due to rolling noise
title_fullStr Using a 2.5D boundary element model to predict the sound distribution on train external surfaces due to rolling noise
title_full_unstemmed Using a 2.5D boundary element model to predict the sound distribution on train external surfaces due to rolling noise
title_sort Using a 2.5D boundary element model to predict the sound distribution on train external surfaces due to rolling noise
dc.creator.none.fl_str_mv Li, Hui
Thompson, David
Squicciarini, Giacomo
Liu, Xiaowan
Rissmann, Martin
F. D. Denia|||0000-0003-4536-8610
Giner Navarro, Juan|||0000-0002-0513-3625
author Li, Hui
author_facet Li, Hui
Thompson, David
Squicciarini, Giacomo
Liu, Xiaowan
Rissmann, Martin
F. D. Denia|||0000-0003-4536-8610
Giner Navarro, Juan|||0000-0002-0513-3625
author_role author
author2 Thompson, David
Squicciarini, Giacomo
Liu, Xiaowan
Rissmann, Martin
F. D. Denia|||0000-0003-4536-8610
Giner Navarro, Juan|||0000-0002-0513-3625
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Mecánica y de Materiales
Centro de Investigación en Ingeniería Mecánica
Instituto Universitario de Investigación Concertado de Ingeniería Mecánica y Biomecánica
Escuela Técnica Superior de Ingeniería Industrial
China Scholarship Council
Shift2Rail Joint Undertaking
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv 2.5D method
Boundary element model
Train external surfaces
Rolling noise
INGENIERIA MECANICA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
topic 2.5D method
Boundary element model
Train external surfaces
Rolling noise
INGENIERIA MECANICA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
description [EN] In order to be able to predict train interior noise, it is first important to calculate the external sound pressure distribution on the floor, sidewalls and roof. This can then be combined with the transmission loss of the train panels to determine the interior noise. Traditional techniques such as the finite element and boundary element (FE/BE) methods in three dimensions (3D) can achieve this result but are computationally very expensive. In this paper, a wavenumber-domain boundary element (2.5D BE) approach is instead adopted to predict the propagation of rolling noise from the wheels, rails and sleepers to the train external surfaces. In the 2.5D models, only the cross-section of the vehicle is represented by using boundary elements, while the third direction is considered in terms of a spectrum of wavenumbers. The rail is treated directly in the wavenumber domain but, to include the wheel, a method of representing point sources in a 2.5D approach is developed. An inverse Fourier transform is applied to obtain the spatial distribution of the sound pressure on the train surfaces. The validity of this approach has been verified by comparison with experimental data. The 2.5D BE method was first used to predict the sound distribution on a 1:5 scale train surfaces due to a point source below the vehicle, and later it was used to predict the sound pressure on a full-scale metro vehicle due to a loudspeaker. Comparisons of predictions with measurements on the scale model and on the metro vehicle showed good agreements. For a point source below the vehicle, the sound pressure levels on the train floor were found to be around 20 dB higher than on the sides, and the sound pressure on the train roof was negligible. The 2.5D BE method was also used to predict the sound pressure on the metro vehicle surfaces in running operation, in which the predicted sound pressure levels on the train external surfaces agreed with measurements to within 3 dB and similar trends were found in terms of spectra and longitudinal distribution of pressure.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-11-10
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/176280
url https://riunet.upv.es/handle/10251/176280
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission https://doi.org/10.13039/501100000780 H2020 777564 Innovative RUNning gear soluTiOns for new dependable, sustainable, intelligent and comfortable RAIL vehicles
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Ajuntament de Barcelona
instname_str Ajuntament de Barcelona
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Using a 2.5D boundary element model to predict the sound distribution on train external surfaces due to rolling noiseLi, HuiThompson, DavidSquicciarini, GiacomoLiu, XiaowanRissmann, MartinF. D. Denia|||0000-0003-4536-8610Giner Navarro, Juan|||0000-0002-0513-36252.5D methodBoundary element modelTrain external surfacesRolling noiseINGENIERIA MECANICA09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación[EN] In order to be able to predict train interior noise, it is first important to calculate the external sound pressure distribution on the floor, sidewalls and roof. This can then be combined with the transmission loss of the train panels to determine the interior noise. Traditional techniques such as the finite element and boundary element (FE/BE) methods in three dimensions (3D) can achieve this result but are computationally very expensive. In this paper, a wavenumber-domain boundary element (2.5D BE) approach is instead adopted to predict the propagation of rolling noise from the wheels, rails and sleepers to the train external surfaces. In the 2.5D models, only the cross-section of the vehicle is represented by using boundary elements, while the third direction is considered in terms of a spectrum of wavenumbers. The rail is treated directly in the wavenumber domain but, to include the wheel, a method of representing point sources in a 2.5D approach is developed. An inverse Fourier transform is applied to obtain the spatial distribution of the sound pressure on the train surfaces. The validity of this approach has been verified by comparison with experimental data. The 2.5D BE method was first used to predict the sound distribution on a 1:5 scale train surfaces due to a point source below the vehicle, and later it was used to predict the sound pressure on a full-scale metro vehicle due to a loudspeaker. Comparisons of predictions with measurements on the scale model and on the metro vehicle showed good agreements. For a point source below the vehicle, the sound pressure levels on the train floor were found to be around 20 dB higher than on the sides, and the sound pressure on the train roof was negligible. The 2.5D BE method was also used to predict the sound pressure on the metro vehicle surfaces in running operation, in which the predicted sound pressure levels on the train external surfaces agreed with measurements to within 3 dB and similar trends were found in terms of spectra and longitudinal distribution of pressure.The work presented in this paper has received funding from China Scholarship Council and the Shift2Rail Joint Undertaking under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 777564). The contents of this publication only reflect the authors' view and the Joint Undertaking is not responsible for any use that may be made of the information contained in the paper. The authors would also like to thank Dr. Hongseok Jeong for his assistance in the laboratory measurements and Metro de Madrid for assistance in the field tests. The authors are grateful to Dr. Xianying Zhang for providing the measured vibration of the 1:5 scale rail. All data published in this paper are openly available from the University of Southampton repository at 10.5258/SOTON/D1483ElsevierDepartamento de Ingeniería Mecánica y de MaterialesCentro de Investigación en Ingeniería MecánicaInstituto Universitario de Investigación Concertado de Ingeniería Mecánica y BiomecánicaEscuela Técnica Superior de Ingeniería IndustrialChina Scholarship CouncilShift2Rail Joint UndertakingRepositorio Institucional de la Universitat Politècnica de València Riunet20202020-11-10journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/176280reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Ajuntament de BarcelonaInglésengEuropean Commission https://doi.org/10.13039/501100000780 H2020 777564 Innovative RUNning gear soluTiOns for new dependable, sustainable, intelligent and comfortable RAIL vehiclesopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1762802026-06-13T07:49:27Z
score 15,300719

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